Parameter identification method of double-fed fan with low-pass control timing characteristics

• Published in: Journal of physics. Conference series Vol. 3079; no. 1; pp. 12043 - 12047
• Main Authors: Zhang, Xiaoheng, Wang, Chao, Li, Xinwei, Liu, Wansong, Di, Che
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2025
• Subjects: Dynamic models; Global optimization; Identification methods; Parameter identification; Parameter sensitivity; Transient response; Voltage drop; Wind turbines
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/3079/1/012043

With the large-scale grid connection of doubly-fed wind turbines, the influence of their low-voltage ride-through (LVRT) characteristics on the power grid stability is increasingly prominent. In view of the distortion of external characteristics caused by the black box characteristics of the converter, this study proposes a parameter identification method for the double-fed wind turbine. Firstly, a high-precision dynamic model is established considering the timing control strategy during low wear, and the transient response mechanism of the unit is clarified. On this basis, the trajectory sensitivity technology is adopted to select characteristic parameters. A hierarchical identification framework is constructed in multi-operation scenarios, and the global optimization of control parameters is realized by integrating multi-source measured data. In order to verify the effectiveness of the method, the output characteristic comparison experiment of different voltage drop depths is carried out. The simulation results prove that the proposed method can accurately reproduce the external characteristic response of the actual double-fed unit.